Set up ufmt (usort + black) as code formatter #12
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This pull request was exported from Phabricator. Differential Revision: D31995123 |
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This pull request was exported from Phabricator. Differential Revision: D31995123 |
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This pull request was exported from Phabricator. Differential Revision: D31995123 |
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This pull request was exported from Phabricator. Differential Revision: D31995123 |
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This pull request was exported from Phabricator. Differential Revision: D31995123 |
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This pull request was exported from Phabricator. Differential Revision: D31995123 |
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This pull request was exported from Phabricator. Differential Revision: D31995123 |
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pre-commit.ci run |
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This pull request was exported from Phabricator. Differential Revision: D31995123 |
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This pull request was exported from Phabricator. Differential Revision: D31995123 |
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This pull request was exported from Phabricator. Differential Revision: D31995123 |
Summary: tsia Pull Request resolved: #12 Differential Revision: D31995123 Pulled By: joshuadeng fbshipit-source-id: 5969d6f5e3bd3e1a4304626f9beb6cf568bab5ba
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@joshuadeng -> for torchrec github, we use the facebook github bot to sync changes from fbcode (source of truth) to github. Is there a reason that we need to put this pR out manually?
…ng [1/n] (#12) Summary: Pull Request resolved: #12 **Preproc for dlrm inspired by NVIDIA DLRM Preproc: ** https://catalog.ngc.nvidia.com/orgs/nvidia/resources/dlrm_for_pytorch/advanced (under dataset guidelines) - Re-map sparse ids to contiguous integers (`with this you can have an embedding table of size num_categories x emb_dim`) - Frequency thresholding; if an id shows up less than T times, remap it to a value of 1 (`Fit model on particular GPU`, `Capture all rarely occurring categories into one because otherwise for these categories you would overfit`) full details of benefits of this preprocessing: - NVIDIA/DeepLearningExamples#1062 (comment) Reviewed By: colin2328 Differential Revision: D33998505 fbshipit-source-id: 93a2fa160bcd679b9b00d970ea2288fbde0ca6f9
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Summary: tsia
Differential Revision: D31995123